リポジトリ
In order to improve your programming skills and strive to achieve world-class expertise, it is essential to follow a well-structured schedule. I have personally devised a schedule that has proven to be effective, and I highly recommend that you consider adopting it as well.
Preliminary Code for 3D-LLM: Injecting the 3D World into Large Language Models
This paper introduces a comprehensive and formal theory on value creation, bridging the gap between classical economic models and contemporary economic realities driven by technology, innovation, and intangible assets.
Welcome to AGI, the cutting-edge project dedicated to building the core components of Artificial General Intelligence.
APAC AI is liberating Humanity from all repetitive activities so we may become the creators we're destined to become.
Transformers at any scale
The APAC AI Hub for Documents, Product Briefs, Plans, and SOPS, we're currently raising SAFE 100M$ at a 1Billion$ valuation.
The APACAI Python library provides convenient access to the APACAI API from applications written in the Python language.
OpenAPI specification for the APAC AI API
Config files for my GitHub profile.
Implementation of AST from the paper: "AST: Audio Spectrogram Transformer' in PyTorch and Zeta
Tree of Thoughts optimizes its parameters autonomously at runtime to obtain the most reliable thoughts in the shortest amount of time.
Ready-to-use Dockerfiles, monitoring scripts, and Kubernetes configurations, you can embark on a cosmic journey of machine learning with ease.
A framework making it effortless to convert any llm model into a reasoning agent like o1 or DeepSeek's r1
Agora investor presentation
The next era of licensing for open source projects
My implementation of "Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models"
Implementation of the model from "Faster sorting algorithms discovered using deep reinforcement learning" that discovered an all-new ultra fast sorting algorithm.